Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland

Feuillet, Thierry; Coquin, Julien; Mercier, Denis; Cossart, Étienne; Decaulne, Armelle; Jónsson, Helgi Páll; Sæmundsson, Þorsteinn

doi:10.1177/0309133314528944

Cited by 52 publications

(40 citation statements)

References 63 publications

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“…The valleys slopes in Tröllaskagi are extremely unstable, affected by numerous rock slope failures and deep-seated gravitational slope deformation, often of significant magnitude, where the red interbed layers act as decollement levels (Jönsson, 1976;Feuillet et al, 2014;Cossart et al, 2014). These macro-mass movements developed as a result of deglaciation during the early Holocene (Mercier et al, 2013;Cossart et al, 2014;Coquin et al, 2015), although in fact some are still active (Wangensteen et al, 2006).…”

Section: Tröllaskagi Peninsula Settingsmentioning

confidence: 99%

The origin of glacial alpine landscape in Tröllaskagi Peninsula (North Iceland)

Andrés

Tanarro

Fernández

et al. 2016

CIG

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Section: Tröllaskagi Peninsula Settingsmentioning

confidence: 99%

The origin of glacial alpine landscape in Tröllaskagi Peninsula (North Iceland)

Andrés

Tanarro

Fernández

et al. 2016

CIG

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“…GWR, which is a local modeling technique, aims to capture spatial non-stationarity in the influence of factors on the occurrence of a landslide (Feuillet et al, 2014). The spatial non-stationarity is identified by generating a set of local-specific coefficients, including local R square, local model residuals, local parameter estimates as well as the corresponding t-test values (Fotheringham et al, 2002).…”

Section: Gwrmentioning

confidence: 99%

“…Because it is assumed that observations near point i have more influence on the estimation of than observations located farther from i (Feuillet et al, 2014;Tu and Xia, 2008). The distance decay functions can be calculated by Gaussian and bi-square (Brunsdon et al, 1998;Fotheringham et al, 2002).…”

Section: Gwr Model Extends the Ols (Ordinary Regression Squares)mentioning

confidence: 99%

“…The AICc is generally more applicable and can be applied in non-Gaussian GWR than CV (Fotheringham et al, 2002;Lloyd, 2010). indicate a more efficient model (Feuillet et al, 2014).…”

Section: Gwr Model Extends the Ols (Ordinary Regression Squares)mentioning

confidence: 99%

“…This reduces the efficiency of estimated parameters when evaluating landslide susceptibility. Therefore, the GWR (Geographically Weighted Regression) has been introduced as a method that incorporates spatial variation (Feuillet et al, 2014). Because the GWR model uses a regression model, the advantages of existing models can be applied, and different factors can be estimated for respective regions.…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Analysis of Landslide Susceptibility Assessment by Using Global and Spatial Regression Methods in Inje Area, Korea

Park¹

2015

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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Landslides are major natural geological hazards that result in a large amount of property damage each year, with both direct and indirect costs. Many researchers have produced landslide susceptibility maps using various techniques over the last few decades. This paper presents the landslide susceptibility results from the geographically weighted regression model using remote sensing and geographic information system data for landslide susceptibility in the Inje area of South Korea. Landslide locations were identified from aerial photographs. The eleven landslide-related factors were calculated and extracted from the spatial database and used to analyze landslide susceptibility. Compared with the global logistic regression model, the Akaike Information Criteria was improved by 109.12, the adjusted R-squared was improved from 0.165 to 0.304, and the Moran's I index of this analysis was improved from 0.4258 to 0.0553. The comparisons of susceptibility obtained from the models show that geographically weighted regression has higher predictive performance. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Coupling patterns between para‐glacial and permafrost degradation responses in Antarctica

Oliva

Fernández

2015

Earth Surf Processes Landf

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The recently deglaciated environments in maritime permafrost regions are usually affected by very active paraglacial processes. Elephant Point is an ice‐free area of 1.16 km2 located in the SW of Livingston island (South Shetland Islands, Antarctica). Between 1956–2010 the retreat of the ice cap covering most part of this island has exposed 17.3% of the land surface in this peninsula. Two geomorphological units were identified in this new ice‐free area: a moraine extending from the western to the eastern coastlines and a relatively flat proglacial surface. The glacier in 1956 sat in contact with the northern slope of the moraine, but its accelerated retreat ‐ in parallel to the warming trend recorded in the Antarctic Peninsula ‐ left these areas free of glacier ice. Subsequently, the postglacial evolution was controlled by the relaxation phase typical of paraglacial systems. The typology and intensity of geomorphological processes show a significantly different dynamics between the southern and northern slopes of the moraine. This pattern is related to the different stage of paraglacial adjustment in both slopes. In the southern side, on coarser sediments, pronival ramparts, debris flows and alluvial fans are distributed, with a low to moderate activity of slope processes. In the northern side, mass wasting processes are extremely active on fine‐grained unconsolidated sediments. Ice‐rich permafrost is being degraded by thermokarst processes. Landslides and mudflows transfer large amounts of sediments down‐slope. The surface affected by retrogressive‐thaw slumps in the moraine has been quantified in 24,172 m2, which accounts for 9.6% of its surface. The abundance of kettle‐lakes is also indicative of the degradation of the ground ice. Paraglacial processes are expected to continue in the moraine and proglacial area in the near future, although their intensity and duration will depend on the magnitude and rate of future climate trends in the northern Antarctic Peninsula. Copyright © 2015 John Wiley & Sons, Ltd.

show abstract

Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland

Cited by 52 publications

References 63 publications

The origin of glacial alpine landscape in Tröllaskagi Peninsula (North Iceland)

The origin of glacial alpine landscape in Tröllaskagi Peninsula (North Iceland)

A Comparative Analysis of Landslide Susceptibility Assessment by Using Global and Spatial Regression Methods in Inje Area, Korea

Coupling patterns between para‐glacial and permafrost degradation responses in Antarctica

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